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Regularized gradient-projection methods for finding the minimum-norm solution of the constrained convex minimization problem
Let H be a real Hilbert space and C be a nonempty closed convex subset of H. Assume that g is a real-valued convex function and the gradient ∇g is [Formula: see text] -ism with [Formula: see text] . Let [Formula: see text] , [Formula: see text] . We prove that the sequence [Formula: see text] genera...
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| Publicado no: | J Inequal Appl |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5222927/ https://ncbi.nlm.nih.gov/pubmed/28111511 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13660-016-1289-4 |
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